5 Customer Retention Metrics Every Restaurant Should Track
Acquisition gets attention. Retention is where restaurants actually make money. These 5 metrics — and how to track them in Plattr — change how you see your business.
Most restaurants track revenue. Many track covers. Very few track the metrics that actually predict whether their business is growing or slowly losing the customers it already has. Acquisition gets attention. Retention is where restaurants live or die.
The economics are straightforward. Acquiring a new restaurant guest costs 3-7x more than retaining an existing one. A regular who visits twice a month generates 24 times the annual revenue of a guest who visits once and never returns. These five metrics change how you think about your business. They are all trackable through Plattr's Insights Hub.
Metric 1: Visit frequency
Visit frequency is the average number of times your guests visit per month. To calculate it: take your total covers in a period and divide by the number of unique guests who visited. A restaurant doing 1,200 covers per month from 800 unique guests has a visit frequency of 1.5. What matters more than the absolute number is the trend — is your frequency increasing, flat, or declining over six months? Declining frequency from your existing guest base means you are working harder on acquisition to compensate for guests who are drifting away. Plattr's Insights Hub calculates visit frequency for loyalty members automatically, so loyalty sign-ups via QR code are what makes individual visit tracking possible.
Metric 2: Retention rate
Retention rate is the percentage of guests who, having visited in a given period, also visit in the following period. If 100 guests visited in January and 60 of them also visited in February, your monthly retention rate is 60%. For most full-service restaurants, a 30-day retention rate of 30-40% is solid. The important segmentation: retention rate by acquisition channel. Guests who came from the Guide, from referrals, from social media, and from loyalty enrolment will have different retention rates. Understanding which channels produce high-retention guests helps you invest your marketing budget correctly.
Metric 3: Customer lifetime value (CLV)
CLV is the total revenue a guest generates over their entire relationship with your restaurant. CLV = Average Spend per Visit x Visit Frequency x Average Guest Lifetime in months. A guest who spends EUR 45 per visit, comes twice a month, and stays a customer for 24 months has a CLV of EUR 2,160. CLV also puts acquisition cost in context. If your CLV for loyalty members is EUR 1,200 and your cost to acquire a loyalty member through social media is EUR 15, your payback period is less than one visit. That is an exceptional return.
Metric 4: Churn rate
A guest has churned when they have passed a threshold of inactivity suggesting they are unlikely to return naturally. For most restaurants, 90 days without a visit is a reasonable churn definition for a guest who was previously visiting monthly. If you churn 20% of your guests per quarter, you need to acquire 20% new guests every quarter before growth even starts. Plattr's Insights Hub can flag guests approaching your churn threshold. An email sent at 60 days of absence — "We have not seen you in a while, here is a bonus stamp" — is far more effective than the same message sent at 120 days when the guest has already formed the habit of going elsewhere.
Metric 5: Net Promoter Score (NPS)
NPS is collected via a single question: "How likely are you to recommend [Restaurant Name] to a friend?" Guests respond on a 0-10 scale. 9-10 are Promoters, 7-8 are Passives, 0-6 are Detractors. NPS = % Promoters minus % Detractors. Above 30 is good for restaurants. Above 50 is excellent. Plattr sends post-visit follow-up messages automatically via the booking confirmation flow. These can include an NPS question, building a trend line over time.
Connecting retention metrics to operations
These five numbers do not operate independently. A restaurant that notices 90-day retention is 65% for loyalty members but 28% for non-members has a clear argument for investing more in loyalty enrolment — via better QR code placement or including a loyalty sign-up prompt in the post-booking email.
Getting started
You cannot improve what you do not measure. Start by setting up the data collection infrastructure: a loyalty programme for visit frequency tracking, a booking system for guest identification, and post-visit follow-up for NPS. All of these are available through Plattr. The free Bonus Card gives you visit frequency data for enrolled members immediately. Start with a free account and expand as your data needs grow.